P
Petr Čížek
Researcher at Czech Technical University in Prague
Publications - 13
Citations - 222
Petr Čížek is an academic researcher from Czech Technical University in Prague. The author has contributed to research in topics: Hexapod & Robot. The author has an hindex of 6, co-authored 13 publications receiving 120 citations.
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Book ChapterDOI
DARPA Subterranean Challenge: Multi-robotic Exploration of Underground Environments
Tomáš Rouček,Martin Pecka,Petr Čížek,Tomáš Petříček,Jan Bayer,Vojtěch Šalanský,Daniel Heřt,Matěj Petrlík,Tomas Baca,Vojěch Spurný,François Pomerleau,Vladimír Kubelka,Jan Faigl,Karel Zimmermann,Martin Saska,Tomas Svoboda,Tomas Krajnik +16 more
TL;DR: A description of the multi-robot heterogeneous exploration system of the CTU-CRAS team, which scored third place in the Tunnel Circuit round, surpassing the performance of all other non-DARPA-funded competitors.
Journal ArticleDOI
Adaptive locomotion control of hexapod walking robot for traversing rough terrains with position feedback only
Jan Faigl,Petr Čížek +1 more
TL;DR: A minimalistic approach for adaptive locomotion control using only the servomotors position feedback is presented, which reliably detects the ground contact point, and thus enable traversing rough terrains with small, affordable hexapod walking robot.
Journal ArticleDOI
FPGA-based module for SURF extraction
TL;DR: A complete hardware and software solution of an FPGA-based computer vision embedded module capable of carrying out SURF image features extraction algorithm, which allows to use the SURF algorithm in applications with power and spatial constraints, such as autonomous navigation of small mobile robots.
Journal ArticleDOI
An experimental study on feature-based SLAM for multi-legged robots with RGB-D sensors
TL;DR: Evaluating four different simultaneous localization and mapping systems in the context of localization of multi-legged walking robots equipped with compact RGB-D sensors revealed that the predominant problem characteristics of the legged robots as platforms for SLAM are the abrupt and unpredictable sensor motions, as well as oscillations and vibrations, which corrupt the images captured in-motion.
Book ChapterDOI
Incremental Learning of Traversability Cost for Aerial Reconnaissance Support to Ground Units
Miloš Prágr,Petr Čížek,Jan Faigl +2 more
TL;DR: The main idea of the proposed approach is to estimate the terrain traversability cost based on the real experience of the multi-legged walking robot with traversing different terrain types based on proprioceptive signals of the utilized hexapod walking robot as a ground unit.